Joanna Betts

5.7k citations
37 papers · 3.9k indexed · 1 hit paper · h-index 26
Topics
Tuberculosis Research and Epidemiology (14 papers)Mycobacterium research and diagnosis (10 papers)Bacterial Genetics and Biotechnology (8 papers)

In The Last Decade

Joanna Betts

36 papers receiving 3.8k citations

Hit Papers

Evaluation of a nutrient starvation model of Mycobacteriu...200220262010201820022505007501000

Peers

Joanna Betts
Comparison fields: 5 of 113
  • Infectious Diseases 2.2k
  • Molecular Biology 1.9k
  • Epidemiology 1.7k
  • Physiology 639
  • Molecular Medicine 418
Replace Peter Verhasselt with:
Peter Verhasselt Belgium
Adrian R. Walmsley United Kingdom
Sandhya S. Visweswariah India
Erwin Knecht Spain
John Gatfield Switzerland
Anabelle Decottignies Belgium
Focco van den Akker United States
Yan Wu China
Chiara Luberto United States
Edward Nieves United States
Joanna Betts relative to Peter Verhasselt Belgium Peter Verhasselt's profile →
Citations per field
00.5×7.3×
Peter Verhasselt · 1×
Citations per year

Countries citing papers authored by Joanna Betts

Since Specialization
Citations

This map shows the geographic impact of Joanna Betts's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Joanna Betts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joanna Betts more than expected).

Fields of papers citing papers by Joanna Betts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joanna Betts. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Joanna Betts. The network helps show where Joanna Betts may publish in the future.

Co-authorship network of co-authors of Joanna Betts

This figure shows the co-authorship network connecting the top 25 collaborators of Joanna Betts. A scholar is included among the top collaborators of Joanna Betts based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Joanna Betts. Joanna Betts is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 12
2 15
3 18
4 25
5 71
6 114
7 203
8
Evaluation of a nutrient starvation model of Mycobacterium tuberculosis persistence by gene and protein expression profilingbreakdown →
1140
9 9
10 39
11 9
12 116
13 105
14 28
15 309
16 25
17 323
18 52
19 3
20 55

About Joanna Betts

Joanna Betts is a scholar working on Infectious Diseases, Molecular Medicine and Genetics, having authored 37 papers that have together received 3.9k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (14 papers), Mycobacterium research and diagnosis (10 papers) and Bacterial Genetics and Biotechnology (8 papers). The work is most often cited by research in Infectious Diseases (2.2k citations), Molecular Medicine (418 citations) and Epidemiology (1.7k citations). Joanna Betts has collaborated with scholars based in United Kingdom, United States and South Africa. Frequent co-authors include Ken Duncan, Ruth A. McAdam, Pauline T. Lukey, Walter Blackstock, Brian H. Anderton, Diane P. Hanger, C. Hugh Reynolds, Thérèse Loviny, Ángel R. Nebreda and Debbie A. Smith. Their work appears in journals such as Journal of Biological Chemistry, Nature Medicine and PLoS ONE.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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